TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS
	Pang, Yanwei 2; Lu, Xin 2; Yuan, Yuan1 ; Li, Xuelong 1
刊名	international journal of pattern recognition and artificial intelligence
	2011-05-01
卷号	25 期号:3 页码:373-390
关键词	Image retrieval probabilistic model text mining travelogue user-generated content
ISSN号	0218-0014
英文摘要	we consider the problem of enriching the travelogue associated with a small number (even one) of images with more web images. images associated with the travelogue always consist of the content and the style of textual information. relying on this assumption, in this paper, we present a framework of travelogue enriching, exploiting both textual and visual information generated by different users. the framework aims to select the most relevant images from automatically collected candidate image set to enrich the given travelogue, and form a comprehensive overview of the scenic spot. to do these, we propose to build two-layer probabilistic models, i.e. a text-layer model and image-layer models, on offline collected travelogues and images. each topic (e.g. sea, mountain, historical sites) in the text-layer model is followed by an image-layer model with sub-topics learnt (e.g. the topic of sea is with the sub-topic like beach, tree, sunrise and sunset). based on the model, we develop strategies to enrich travelogues in the following steps: (1) remove noisy names of scenic spots from travelogues; (2) generate queries to automatically gather candidate image set; (3) select images to enrich the travelogue; and (4) choose images to portray the visual content of a scenic spot. experimental results on chinese travelogues demonstrate the potential of the proposed approach on tasks of travelogue enrichment and the corresponding scenic spot illustration.
学科主题	computer science ; artificial intelligence
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence
研究领域[WOS]	computer science
关键词[WOS]	image retrieval ; subspace
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000291002600003
公开日期	2011-09-30
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/10577]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mechan, Xian 710119, Shaanxi, Peoples R China 2.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China
推荐引用方式 GB/T 7714	Pang, Yanwei,Lu, Xin,Yuan, Yuan,et al. TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS[J]. international journal of pattern recognition and artificial intelligence,2011,25(3):373-390.
APA	Pang, Yanwei,Lu, Xin,Yuan, Yuan,&Li, Xuelong.(2011).TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS.international journal of pattern recognition and artificial intelligence,25(3),373-390.
MLA	Pang, Yanwei,et al."TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS".international journal of pattern recognition and artificial intelligence 25.3(2011):373-390.